susunghong commited on
Commit
8f48e7b
1 Parent(s): 3327123

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -121,14 +121,14 @@ def main():
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  return [ori_image, sag_image, seed]
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  def reset():
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- return [0, "Randomize Seed", 90061, 3.0, 0.75, None, None]
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  with gr.Blocks() as demo:
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  gr.HTML("""<h1 style="font-weight: 900; margin-bottom: 10px;">
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  Self-Attention Guidance Demo
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  </h1>
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  <p>Condition-agnostic diffusion guidance using the internal self-attention by Susung Hong.<p>
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- <p>SAG also produces fine results for the <b>unconditional sampling</b> of Stable Diffusion. Just leave the prompt blank for the unconditional sampling.<p>
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  <a href="https://huggingface.co/spaces/susunghong/Self-Attention-Guidance?duplicate=true">
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  <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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  """)
@@ -157,7 +157,7 @@ def main():
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  label="Text Guidance Scale", minimum=0, maximum=10, value=3.0, step=0.1
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  )
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  sag_scale = gr.Slider(
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- label="Self-Attention Guidance Scale", minimum=0, maximum=1.0, value=0.75, step=0.05
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  )
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  with gr.Row():
 
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  return [ori_image, sag_image, seed]
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  def reset():
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+ return [0, "Randomize Seed", 90061, 3.0, 1.0, None, None]
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  with gr.Blocks() as demo:
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  gr.HTML("""<h1 style="font-weight: 900; margin-bottom: 10px;">
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  Self-Attention Guidance Demo
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  </h1>
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  <p>Condition-agnostic diffusion guidance using the internal self-attention by Susung Hong.<p>
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+ <p>SAG also produces fine <b>unconditional</b> results. Just leave the prompt blank for the unconditional sampling of Stable Diffusion.<p>
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  <a href="https://huggingface.co/spaces/susunghong/Self-Attention-Guidance?duplicate=true">
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  <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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  """)
 
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  label="Text Guidance Scale", minimum=0, maximum=10, value=3.0, step=0.1
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  )
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  sag_scale = gr.Slider(
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+ label="Self-Attention Guidance Scale", minimum=0, maximum=1.0, value=1.0, step=0.05
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  )
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  with gr.Row():